CIO
SEPTEMBER 18, 2023
From an individual’s perspective, it keeps careers interesting and helps people grow with the organization. Instead, a good portion of the IT organization embeds with scientists and other drug specialists to immerse in the various research initiatives, uncover the potential for IT innovation, and map the requisite technologies.
CIO
DECEMBER 21, 2022
Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By
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CIO
AUGUST 18, 2022
The giant pharmaceutical chain had put its lakehouse in place to address just such challenges in its quest, to, as Guadagno puts it, “To get the right product in the right place for the right patient.”. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data.
CIO
MARCH 2, 2023
By virtue of their position between IT and effecting business strategy, CIOs can identify what processes their organizations need in order to modernize and automate. That’s not surprising since CIOs typically own IT automation, as well as help drive business automation.
TechCrunch
JANUARY 24, 2023
According to a Matillion and IDG survey, data volumes are growing by 63% per month in some organizations — and data’s coming from an increasing number of places. Much of the aforementioned data is unstructured, meaning it’s not organized in a predefined way (unliked, say, a database of names and addresses).
The Crazy Programmer
MAY 12, 2021
Here are some examples: Healthcare: Data lakes help healthcare organizations to comply with regulations on data storage and privacy. Pharmaceuticals: These organizations collect raw data when they conduct drug trials. In this case, organizations retain the data for a long time to help future research.
CIO
APRIL 4, 2024
Currently, gen AI helps with new pharmaceutical development by creating never-before-seen molecules and analyzing their potential in the development of new medicines. However, Diasio says you don’t always need to organize internal data to leverage AI. It compresses years of work into months — sometimes days, Rau says.
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